US6704725B1 - Method of searching multimedia data - Google Patents
Method of searching multimedia data Download PDFInfo
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- US6704725B1 US6704725B1 US09/606,155 US60615500A US6704725B1 US 6704725 B1 US6704725 B1 US 6704725B1 US 60615500 A US60615500 A US 60615500A US 6704725 B1 US6704725 B1 US 6704725B1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
- Y10S707/99933—Query processing, i.e. searching
- Y10S707/99934—Query formulation, input preparation, or translation
Definitions
- the present invention relates to multimedia data, and more particularly, to a method of searching multimedia data using normalizing information of feature elements included in a specified image.
- an image search system searches for similarity of images using features included in images such as a color histogram or color of partial regions. Thereafter, the system provides a user with the search result, i.e. similar images. If the user is satisfied with the search results, the search operation terminates.
- the user may search for the desired image using weights of features predetermined in the search system for sorting each image.
- a consistent standard is difficult to defined when general users set the weights of features.
- an error may occur when learning the weights of the features because respective features may have different similarity distributions. For example, suppose a feature A in an image is set to have more weight than a feature B by a ratio of 6:4 when a user is searching for a reference image and that the average of the similarity distribution of feature A is 50 while the average of the similarity distribution of feature B is 70.
- an object of the present invention is to solve at least the problems and disadvantages of the related art.
- FIG. 1 shows a flowchart of the present invention which can be divided into a process for normalizing information ( 100 A), and a process for setting and updating the weights using the normalizing information ( 100 B).
- the setting and updating the weights here means converting the similarity to a normalized value using the normalizing information of each feature obtained when a user gives relevance feedback.
- the feature information may be normalized by any method
- the preferred embodiment of the image search system presents the characteristic of feature distribution as CDF to normalize information for setting and updating the weights.
- CDF the similarity values obtained according to each feature is normalized such that the weights for each feature can be more accurately learned using the user feedback.
- a reference image can effectively be searched by normalizing the similarity (or difference) obtained using the original features.
- the weights can also be set by learning through relevance feedback from a user as described with reference to FIG. 1 .
- the weights may alternatively be set directly by a user, or may be set in any other manner.
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- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Library & Information Science (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (27)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1999-26939 | 1999-07-05 | ||
KR10-1999-0026939A KR100518860B1 (en) | 1999-07-05 | 1999-07-05 | Image searching method using feature normalizing information |
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US6704725B1 true US6704725B1 (en) | 2004-03-09 |
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Family Applications (1)
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US09/606,155 Expired - Fee Related US6704725B1 (en) | 1999-07-05 | 2000-06-29 | Method of searching multimedia data |
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US (1) | US6704725B1 (en) |
KR (1) | KR100518860B1 (en) |
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